R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> z <- c(63.3,102.9,107.6,93,84.1,89.7,90.1,103.4,95.6,90.4,104.1,82.8,69,105.1,104.3,95.4,93,89.3,85.2,96.4,93.1,83.3,98.4,76.9,66.3,98.6,92.3,96.1,84.4,85.8,94.6,101.5,86,91.1,101.8,79.4,67.3,98.1,104.7,102.9,82.8,94.5,93.1,103.6,89.9,92.5,103.5,86.9,69.5,97.1,109.8,96.6,75.8,127.5,93.4,87.7,94,84,90.1,81.5,58.6)
> y <- c(9.4,9.5,9.1,9,9.3,9.9,9.8,9.4,8.3,8,8.5,10.4,11.1,10.9,9.9,9.2,9.2,9.5,9.6,9.5,9.1,8.9,9,10.1,10.3,10.2,9.6,9.2,9.3,9.4,9.4,9.2,9,9,9,9.8,10,9.9,9.3,9,9,9.1,9.1,9.1,9.2,8.8,8.3,8.4,8.1,7.8,7.9,7.9,8,7.9,7.5,7.2,6.9,6.6,6.7,7.3,7.5)
> x <- c(7.5,7.6,7.9,7.9,8.1,8.2,8,7.5,6.8,6.5,6.6,7.6,8,8,7.7,7.5,7.6,7.7,7.9,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.1,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.7,6.4,6.3,6.2,6.5,6.8,6.8,6.5,6.3,5.9,5.9,6.4,6.4)
> par7 = 'Variable Z'
> par6 = 'Variable Y'
> par5 = 'Variable X'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> library(GenKern)
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997

Loading GenKern version 1.1
Copyright Lucy and Aykroyd 2000
last update October 2004
requires KernSmooth


Package GenKern installed

> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1h6ze1226512532.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2au6y1226512532.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/33l3o1226512532.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4i6221226512532.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/www/html/rcomp/tmp/588c11226512532.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,y)
> (r<-lm(y ~ x))

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
     0.7626       1.1348  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6k3qg1226512533.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z))
> op
$xords
 [1]  6.177141  6.286237  6.395333  6.504430  6.613526  6.722622  6.831719
 [8]  6.940815  7.049911  7.159007  7.268104  7.377200  7.486296  7.595393
[15]  7.704489  7.813585  7.922682  8.031778  8.140874  8.249970  8.359067
[22]  8.468163  8.577259  8.686356  8.795452  8.904548  9.013644  9.122741
[29]  9.231837  9.340933  9.450030  9.559126  9.668222  9.777318  9.886415
[36]  9.995511 10.104607 10.213704 10.322800 10.431896 10.540993 10.650089
[43] 10.759185 10.868281 10.977378 11.086474 11.195570 11.304667 11.413763
[50] 11.522859

$yords
 [1]  51.54064  53.23490  54.92916  56.62342  58.31768  60.01194  61.70620
 [8]  63.40046  65.09472  66.78898  68.48324  70.17750  71.87176  73.56602
[15]  75.26027  76.95453  78.64879  80.34305  82.03731  83.73157  85.42583
[22]  87.12009  88.81435  90.50861  92.20287  93.89713  95.59139  97.28565
[29]  98.97991 100.67417 102.36843 104.06269 105.75695 107.45121 109.14547
[36] 110.83973 112.53398 114.22824 115.92250 117.61676 119.31102 121.00528
[43] 122.69954 124.39380 126.08806 127.78232 129.47658 131.17084 132.86510
[50] 134.55936

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 8.860710e-07 1.624140e-06 2.613355e-06 3.692665e-06 4.591907e-06
 [2,] 5.333889e-06 9.674107e-06 1.540211e-05 2.152792e-05 2.643626e-05
 [3,] 2.761884e-05 4.956629e-05 7.808431e-05 1.079829e-04 1.311212e-04
 [4,] 1.230138e-04 2.184488e-04 3.405179e-04 4.659410e-04 5.597106e-04
 [5,] 4.712910e-04 8.281330e-04 1.277335e-03 1.729441e-03 2.055510e-03
 [6,] 1.553140e-03 2.700454e-03 4.121511e-03 5.521681e-03 6.493657e-03
 [7,] 4.402695e-03 7.574607e-03 1.143919e-02 1.516442e-02 1.764645e-02
 [8,] 1.073528e-02 1.827555e-02 2.731001e-02 3.582365e-02 4.124975e-02
 [9,] 2.251618e-02 3.792872e-02 5.608380e-02 7.279590e-02 8.294477e-02
[10,] 4.062224e-02 6.771035e-02 9.907085e-02 1.272467e-01 1.434772e-01
[11,] 6.304084e-02 1.039764e-01 1.505415e-01 1.913422e-01 2.135298e-01
[12,] 8.415362e-02 1.373461e-01 1.967848e-01 2.475460e-01 2.734980e-01
[13,] 9.663303e-02 1.560711e-01 2.213129e-01 2.756246e-01 3.017208e-01
[14,] 9.545589e-02 1.525836e-01 2.142086e-01 2.643193e-01 2.872275e-01
[15,] 8.112582e-02 1.283831e-01 1.785716e-01 2.187235e-01 2.370127e-01
[16,] 5.933749e-02 9.303591e-02 1.284504e-01 1.568759e-01 1.713230e-01
[17,] 3.738015e-02 5.817498e-02 8.008206e-02 9.854903e-02 1.110236e-01
[18,] 2.031858e-02 3.152748e-02 4.372554e-02 5.548652e-02 6.741867e-02
[19,] 9.572279e-03 1.496357e-02 2.139574e-02 2.926460e-02 4.083092e-02
[20,] 3.950323e-03 6.366734e-03 9.810790e-03 1.540020e-02 2.579022e-02
[21,] 1.466499e-03 2.551101e-03 4.515897e-03 8.506278e-03 1.679062e-02
[22,] 5.338343e-04 1.078073e-03 2.292374e-03 5.050168e-03 1.093360e-02
[23,] 2.778934e-04 6.757673e-04 1.612119e-03 3.672963e-03 7.796424e-03
[24,] 3.848757e-04 9.758431e-04 2.231195e-03 4.600023e-03 8.567459e-03
[25,] 8.845545e-04 2.186952e-03 4.767823e-03 9.176103e-03 1.561868e-02
[26,] 1.989135e-03 4.838721e-03 1.033994e-02 1.941531e-02 3.204729e-02
[27,] 3.921103e-03 9.427487e-03 1.989989e-02 3.688100e-02 6.002040e-02
[28,] 6.669283e-03 1.586536e-02 3.313384e-02 6.075331e-02 9.780986e-02
[29,] 9.766616e-03 2.299669e-02 4.754412e-02 8.631571e-02 1.376321e-01
[30,] 1.231749e-02 2.872242e-02 5.882841e-02 1.058619e-01 1.674364e-01
[31,] 1.339996e-02 3.098125e-02 6.297052e-02 1.125886e-01 1.772397e-01
[32,] 1.262678e-02 2.902960e-02 5.879116e-02 1.050316e-01 1.658459e-01
[33,] 1.041561e-02 2.397669e-02 4.883901e-02 8.827677e-02 1.420919e-01
[34,] 7.721493e-03 1.807330e-02 3.775233e-02 7.067350e-02 1.190847e-01
[35,] 5.456995e-03 1.334823e-02 2.944573e-02 5.873934e-02 1.060938e-01
[36,] 4.057304e-03 1.065428e-02 2.528590e-02 5.413000e-02 1.042080e-01
[37,] 3.435243e-03 9.637093e-03 2.419129e-02 5.414922e-02 1.077527e-01
[38,] 3.219746e-03 9.336468e-03 2.397288e-02 5.440111e-02 1.089576e-01
[39,] 3.035695e-03 8.854689e-03 2.274986e-02 5.145146e-02 1.023967e-01
[40,] 2.673898e-03 7.752214e-03 1.976147e-02 4.428954e-02 8.728278e-02
[41,] 2.125236e-03 6.109791e-03 1.544488e-02 3.434237e-02 6.720398e-02
[42,] 1.514111e-03 4.334868e-03 1.093503e-02 2.432920e-02 4.780353e-02
[43,] 9.893682e-04 2.860794e-03 7.328990e-03 1.666857e-02 3.372770e-02
[44,] 6.369399e-04 1.913947e-03 5.137815e-03 1.233922e-02 2.653567e-02
[45,] 4.538836e-04 1.456299e-03 4.181641e-03 1.073089e-02 2.456471e-02
[46,] 3.780816e-04 1.283554e-03 3.870690e-03 1.034677e-02 2.447093e-02
[47,] 3.379520e-04 1.176452e-03 3.612892e-03 9.777239e-03 2.329557e-02
[48,] 2.885666e-04 1.008080e-03 3.096774e-03 8.361904e-03 1.983994e-02
[49,] 2.204691e-04 7.658435e-04 2.336600e-03 6.260622e-03 1.472963e-02
[50,] 1.468543e-04 5.055941e-04 1.528253e-03 4.055516e-03 9.447972e-03
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 5.095364e-06 5.474339e-06 7.881441e-06 2.146835e-05 7.935935e-05
 [2,] 2.865840e-05 2.825824e-05 2.971637e-05 5.115548e-05 1.546935e-04
 [3,] 1.400359e-04 1.329398e-04 1.195413e-04 1.344764e-04 2.823785e-04
 [4,] 5.906052e-04 5.495233e-04 4.616942e-04 3.991085e-04 5.308192e-04
 [5,] 2.145099e-03 1.968456e-03 1.603007e-03 1.223505e-03 1.121539e-03
 [6,] 6.704365e-03 6.080795e-03 4.864426e-03 3.515751e-03 2.609413e-03
 [7,] 1.802683e-02 1.617241e-02 1.276911e-02 8.985861e-03 6.043914e-03
 [8,] 4.169694e-02 3.701235e-02 2.889442e-02 2.000569e-02 1.285754e-02
 [9,] 8.297028e-02 7.288736e-02 5.631274e-02 3.853531e-02 2.421298e-02
[10,] 1.420457e-01 1.235402e-01 9.456406e-02 6.419080e-02 3.997694e-02
[11,] 2.092952e-01 1.803671e-01 1.370886e-01 9.286658e-02 5.829615e-02
[12,] 2.656180e-01 2.272727e-01 1.723976e-01 1.180508e-01 7.699101e-02
[13,] 2.909046e-01 2.483195e-01 1.901999e-01 1.352486e-01 9.654302e-02
[14,] 2.761989e-01 2.378360e-01 1.886444e-01 1.462968e-01 1.219237e-01
[15,] 2.297747e-01 2.044882e-01 1.760307e-01 1.587288e-01 1.598060e-01
[16,] 1.714529e-01 1.650662e-01 1.643284e-01 1.789848e-01 2.112263e-01
[17,] 1.199654e-01 1.330825e-01 1.596356e-01 2.047205e-01 2.654261e-01
[18,] 8.375695e-02 1.117381e-01 1.580253e-01 2.238292e-01 3.021293e-01
[19,] 6.092810e-02 9.588163e-02 1.501785e-01 2.223538e-01 3.031068e-01
[20,] 4.540168e-02 7.923753e-02 1.300228e-01 1.949513e-01 2.645722e-01
[21,] 3.276317e-02 5.991248e-02 9.963810e-02 1.489499e-01 1.999698e-01
[22,] 2.214870e-02 4.077088e-02 6.730577e-02 9.930158e-02 1.312784e-01
[23,] 1.514722e-02 2.664223e-02 4.218206e-02 6.003505e-02 7.705671e-02
[24,] 1.445470e-02 2.215579e-02 3.094018e-02 3.951482e-02 4.652752e-02
[25,] 2.357367e-02 3.166926e-02 3.807979e-02 4.137319e-02 4.144935e-02
[26,] 4.653032e-02 5.948837e-02 6.710420e-02 6.711851e-02 6.046061e-02
[27,] 8.578568e-02 1.077192e-01 1.189286e-01 1.157538e-01 1.003265e-01
[28,] 1.382836e-01 1.717300e-01 1.874465e-01 1.801831e-01 1.536723e-01
[29,] 1.927968e-01 2.373645e-01 2.570552e-01 2.453805e-01 2.078835e-01
[30,] 2.329004e-01 2.851567e-01 3.077773e-01 2.937329e-01 2.498714e-01
[31,] 2.459761e-01 3.015063e-01 3.273527e-01 3.164093e-01 2.752869e-01
[32,] 2.320594e-01 2.887566e-01 3.210939e-01 3.215052e-01 2.939825e-01
[33,] 2.045456e-01 2.646449e-01 3.095360e-01 3.298175e-01 3.243801e-01
[34,] 1.813259e-01 2.503035e-01 3.140896e-01 3.596286e-01 3.790679e-01
[35,] 1.734506e-01 2.563260e-01 3.419897e-01 4.124227e-01 4.529093e-01
[36,] 1.798188e-01 2.773588e-01 3.819594e-01 4.706410e-01 5.233381e-01
[37,] 1.901816e-01 2.973609e-01 4.120865e-01 5.079648e-01 5.622595e-01
[38,] 1.924638e-01 2.998628e-01 4.126910e-01 5.038196e-01 5.508671e-01
[39,] 1.793354e-01 2.765828e-01 3.763216e-01 4.536412e-01 4.890007e-01
[40,] 1.513152e-01 2.309770e-01 3.110596e-01 3.711138e-01 3.956770e-01
[41,] 1.158353e-01 1.760974e-01 2.366628e-01 2.823507e-01 3.014424e-01
[42,] 8.308737e-02 1.280219e-01 1.753695e-01 2.144462e-01 2.355825e-01
[43,] 6.085108e-02 9.809971e-02 1.415906e-01 1.833024e-01 2.133067e-01
[44,] 5.110458e-02 8.808787e-02 1.357334e-01 1.866943e-01 2.289151e-01
[45,] 5.005633e-02 9.060372e-02 1.453786e-01 2.064286e-01 2.590483e-01
[46,] 5.112411e-02 9.422136e-02 1.530217e-01 2.188141e-01 2.753350e-01
[47,] 4.883412e-02 9.001849e-02 1.458542e-01 2.076597e-01 2.597419e-01
[48,] 4.135296e-02 7.570458e-02 1.217098e-01 1.718193e-01 2.129769e-01
[49,] 3.042778e-02 5.518565e-02 8.786968e-02 1.228271e-01 1.507242e-01
[50,] 1.932237e-02 3.468990e-02 5.467133e-02 7.563548e-02 9.185401e-02
             [,11]       [,12]       [,13]       [,14]      [,15]      [,16]
 [1,] 0.0002854035 0.000917211 0.002597006 0.006467333 0.01417319 0.02737197
 [2,] 0.0005297034 0.001673646 0.004684485 0.011545842 0.02505973 0.04797301
 [3,] 0.0008646072 0.002653074 0.007322489 0.017848366 0.03835507 0.07278287
 [4,] 0.0012852266 0.003709821 0.010027755 0.024118363 0.05125551 0.09635629
 [5,] 0.0018704549 0.004741379 0.012341830 0.029125000 0.06101366 0.11338804
 [6,] 0.0029332349 0.005927626 0.014375859 0.032896398 0.06745307 0.12325626
 [7,] 0.0051334639 0.007873885 0.017093538 0.037303872 0.07406675 0.13185808
 [8,] 0.0093738404 0.011430677 0.021871628 0.045027842 0.08586651 0.14768218
 [9,] 0.0163857429 0.017223343 0.029515810 0.057362206 0.10501911 0.17420931
[10,] 0.0262839977 0.025403038 0.039766420 0.072946305 0.12820868 0.20537469
[11,] 0.0388253766 0.036395554 0.052487523 0.089522768 0.14928761 0.22959703
[12,] 0.0549557521 0.052843554 0.070467184 0.108341959 0.16628584 0.24042748
[13,] 0.0788684803 0.081331472 0.101482205 0.137367813 0.18664190 0.24453379
[14,] 0.1179483108 0.130983333 0.155977567 0.188386598 0.22400388 0.25829094
[15,] 0.1780451621 0.206957995 0.238849946 0.267030161 0.28633525 0.29377904
[16,] 0.2553613629 0.301474987 0.339606497 0.361993155 0.36397819 0.34545419
[17,] 0.3315865628 0.390216639 0.430079256 0.443928716 0.42930682 0.38996816
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[19,] 0.5299877758 0.4417658261 3.448582e-01 2.500289e-01 1.687378e-01
[20,] 0.5520406630 0.4337281191 3.155777e-01 2.125926e-01 1.337270e-01
[21,] 0.5670433806 0.4243047834 2.901126e-01 1.818534e-01 1.057350e-01
[22,] 0.5890025333 0.4268285191 2.801017e-01 1.668792e-01 9.110392e-02
[23,] 0.6444314230 0.4603674833 2.976862e-01 1.743547e-01 9.292575e-02
[24,] 0.7625630109 0.5441552825 3.533200e-01 2.085345e-01 1.119812e-01
[25,] 0.9521542199 0.6820690876 4.467636e-01 2.668670e-01 1.451322e-01
[26,] 1.1827745823 0.8495911250 5.590985e-01 3.357593e-01 1.834457e-01
[27,] 1.3900238356 0.9979024807 6.559376e-01 3.929716e-01 2.138270e-01
[28,] 1.5055915013 1.0763596538 7.030157e-01 4.175343e-01 2.247357e-01
[29,] 1.4919312613 1.0584393175 6.838935e-01 4.006425e-01 2.121738e-01
[30,] 1.3584172055 0.9534395913 6.072931e-01 3.495459e-01 1.813613e-01
[31,] 1.1516908543 0.7981300264 5.001140e-01 2.821824e-01 1.430615e-01
[32,] 0.9299830063 0.6362347803 3.923226e-01 2.171060e-01 1.075778e-01
[33,] 0.7371067511 0.4987049192 3.035177e-01 1.653586e-01 8.041517e-02
[34,] 0.5886623860 0.3946485755 2.379366e-01 1.282801e-01 6.161529e-02
[35,] 0.4756228481 0.3157795508 1.888019e-01 1.010029e-01 4.812224e-02
[36,] 0.3804362721 0.2492220813 1.474234e-01 7.819048e-02 3.697950e-02
[37,] 0.2931665869 0.1888720034 1.103162e-01 5.798436e-02 2.725784e-02
[38,] 0.2172831049 0.1384289816 8.043880e-02 4.231108e-02 2.000907e-02
[39,] 0.1645700411 0.1068141601 6.372134e-02 3.462669e-02 1.699614e-02
[40,] 0.1457119328 0.1011821127 6.446196e-02 3.722907e-02 1.930415e-02
[41,] 0.1623738858 0.1214658754 8.192782e-02 4.935298e-02 2.638455e-02
[42,] 0.2033458246 0.1579666427 1.089775e-01 6.645672e-02 3.572388e-02
[43,] 0.2465939145 0.1933119808 1.336100e-01 8.126936e-02 4.345716e-02
[44,] 0.2681825147 0.2095138598 1.439074e-01 8.684546e-02 4.602945e-02
[45,] 0.2543451569 0.1971115656 1.341667e-01 8.018890e-02 4.207843e-02
[46,] 0.2084299720 0.1599741126 1.078011e-01 6.377366e-02 3.311940e-02
[47,] 0.1471424637 0.1117841135 7.455009e-02 4.364436e-02 2.242911e-02
[48,] 0.0893976168 0.0672097748 4.435515e-02 2.569541e-02 1.306665e-02
[49,] 0.0467280929 0.0347630204 2.270150e-02 1.301329e-02 6.548087e-03
[50,] 0.0210108703 0.0154669653 9.994497e-03 5.669057e-03 2.822634e-03
             [,39]        [,40]        [,41]        [,42]        [,43]
 [1,] 5.314957e-07 9.822510e-08 1.654880e-08 3.016921e-09 1.226025e-09
 [2,] 1.162383e-06 2.202310e-07 4.204241e-08 1.256050e-08 1.017189e-08
 [3,] 2.278015e-06 4.841492e-07 1.336629e-07 7.578468e-08 8.463443e-08
 [4,] 4.429561e-06 1.313104e-06 6.173893e-07 5.095322e-07 6.292865e-07
 [5,] 1.078602e-05 5.109822e-06 3.360222e-06 3.176737e-06 4.062255e-06
 [6,] 3.729917e-05 2.347760e-05 1.742952e-05 1.736861e-05 2.262351e-05
 [7,] 1.491416e-04 1.031559e-04 7.990512e-05 8.219790e-05 1.085463e-04
 [8,] 5.652342e-04 4.008728e-04 3.177541e-04 3.357413e-04 4.485114e-04
 [9,] 1.889819e-03 1.350462e-03 1.091464e-03 1.182731e-03 1.595762e-03
[10,] 5.471818e-03 3.925841e-03 3.235533e-03 3.592508e-03 4.888286e-03
[11,] 1.366152e-02 9.839226e-03 8.276282e-03 9.407525e-03 1.289145e-02
[12,] 2.938805e-02 2.125960e-02 1.826771e-02 2.123558e-02 2.926654e-02
[13,] 5.447791e-02 3.961193e-02 3.479521e-02 4.131561e-02 5.719205e-02
[14,] 8.708488e-02 6.367535e-02 5.719862e-02 6.927559e-02 9.619848e-02
[15,] 1.202006e-01 8.837212e-02 8.116306e-02 1.000984e-01 1.392665e-01
[16,] 1.435997e-01 1.060252e-01 9.944395e-02 1.246340e-01 1.735217e-01
[17,] 1.491427e-01 1.102136e-01 1.052728e-01 1.337279e-01 1.860716e-01
[18,] 1.357804e-01 9.968692e-02 9.640954e-02 1.236699e-01 1.717239e-01
[19,] 1.100717e-01 7.912485e-02 7.659362e-02 9.862922e-02 1.364100e-01
[20,] 8.192867e-02 5.615512e-02 5.315422e-02 6.794734e-02 9.329897e-02
[21,] 5.951188e-02 3.729308e-02 3.287891e-02 4.066266e-02 5.501520e-02
[22,] 4.707158e-02 2.582301e-02 1.931667e-02 2.158403e-02 2.811395e-02
[23,] 4.578352e-02 2.216501e-02 1.273071e-02 1.097208e-02 1.272548e-02
[24,] 5.493982e-02 2.509422e-02 1.152886e-02 6.570036e-03 5.556356e-03
[25,] 7.178064e-02 3.235310e-02 1.353217e-02 5.683150e-03 2.943425e-03
[26,] 9.091434e-02 4.076502e-02 1.655327e-02 6.191638e-03 2.299459e-03
[27,] 1.053207e-01 4.679950e-02 1.870890e-02 6.734514e-03 2.217823e-03
[28,] 1.092917e-01 4.787326e-02 1.882980e-02 6.634610e-03 2.096267e-03
[29,] 1.013313e-01 4.353730e-02 1.678518e-02 5.791867e-03 1.785288e-03
[30,] 8.467805e-02 3.552068e-02 1.336279e-02 4.499284e-03 1.353082e-03
[31,] 6.509201e-02 2.655556e-02 9.704836e-03 3.173248e-03 9.269827e-04
[32,] 4.767791e-02 1.888936e-02 6.687437e-03 2.114725e-03 5.969362e-04
[33,] 3.485290e-02 1.345195e-02 4.621925e-03 1.413483e-03 3.847278e-04
[34,] 2.630346e-02 9.965338e-03 3.347771e-03 9.968191e-04 2.630315e-04
[35,] 2.035285e-02 7.624377e-03 2.526067e-03 7.395101e-04 1.911922e-04
[36,] 1.553178e-02 5.776671e-03 1.898745e-03 5.508249e-04 1.409135e-04
[37,] 1.140525e-02 4.232965e-03 1.390182e-03 4.033683e-04 1.033026e-04
[38,] 8.460541e-03 3.185682e-03 1.065159e-03 3.156646e-04 8.281837e-05
[39,] 7.483703e-03 2.940853e-03 1.027611e-03 3.184737e-04 8.738455e-05
[40,] 8.924396e-03 3.661038e-03 1.328511e-03 4.255669e-04 1.201770e-04
[41,] 1.246810e-02 5.195074e-03 1.905754e-03 6.149231e-04 1.744217e-04
[42,] 1.689964e-02 7.028660e-03 2.568587e-03 8.245055e-04 2.324239e-04
[43,] 2.041623e-02 8.423946e-03 3.052054e-03 9.708510e-04 2.711230e-04
[44,] 2.142164e-02 8.752716e-03 3.139600e-03 9.886179e-04 2.732719e-04
[45,] 1.938409e-02 7.838854e-03 2.782720e-03 8.671399e-04 2.371967e-04
[46,] 1.509849e-02 6.042100e-03 2.122469e-03 6.544718e-04 1.771480e-04
[47,] 1.011801e-02 4.006591e-03 1.392676e-03 4.249320e-04 1.138107e-04
[48,] 5.832681e-03 2.285424e-03 7.860667e-04 2.373260e-04 6.289627e-05
[49,] 2.892248e-03 1.121374e-03 3.816445e-04 1.140146e-04 2.989892e-05
[50,] 1.233649e-03 4.732844e-04 1.593845e-04 4.711540e-05 1.222569e-05
             [,44]        [,45]        [,46]        [,47]        [,48]
 [1,] 1.344556e-09 1.776555e-09 2.165464e-09 2.338717e-09 2.221923e-09
 [2,] 1.339475e-08 1.788490e-08 2.162166e-08 2.311494e-08 2.173170e-08
 [3,] 1.165222e-07 1.550625e-07 1.857223e-07 1.965179e-07 1.828300e-07
 [4,] 8.749687e-07 1.156823e-06 1.372296e-06 1.437151e-06 1.323088e-06
 [5,] 5.657537e-06 7.424811e-06 8.722321e-06 9.040484e-06 8.235997e-06
 [6,] 3.148353e-05 4.099619e-05 4.768883e-05 4.891834e-05 4.409932e-05
 [7,] 1.507640e-04 1.947293e-04 2.242839e-04 2.276880e-04 2.031113e-04
 [8,] 6.212220e-04 7.956929e-04 9.073543e-04 9.115878e-04 8.046816e-04
 [9,] 2.202489e-03 2.796924e-03 3.157554e-03 3.139390e-03 2.742210e-03
[10,] 6.718700e-03 8.457334e-03 9.451902e-03 9.299947e-03 8.038305e-03
[11,] 1.763395e-02 2.199890e-02 2.433780e-02 2.369758e-02 2.026820e-02
[12,] 3.981954e-02 4.922435e-02 5.390592e-02 5.194165e-02 4.395949e-02
[13,] 7.735987e-02 9.474760e-02 1.027032e-01 9.792994e-02 8.201194e-02
[14,] 1.293003e-01 1.568784e-01 1.683151e-01 1.588192e-01 1.316098e-01
[15,] 1.859263e-01 2.234410e-01 2.372757e-01 2.215532e-01 1.816712e-01
[16,] 2.300029e-01 2.737574e-01 2.877228e-01 2.658525e-01 2.157103e-01
[17,] 2.447783e-01 2.885165e-01 3.001135e-01 2.744043e-01 2.203141e-01
[18,] 2.241087e-01 2.615632e-01 2.692694e-01 2.436286e-01 1.935532e-01
[19,] 1.765213e-01 2.039787e-01 2.078159e-01 1.860601e-01 1.462665e-01
[20,] 1.196241e-01 1.368364e-01 1.379628e-01 1.222266e-01 9.507723e-02
[21,] 6.976671e-02 7.896868e-02 7.878495e-02 6.906649e-02 5.316123e-02
[22,] 3.506006e-02 3.921635e-02 3.870360e-02 3.357106e-02 2.556834e-02
[23,] 1.526258e-02 1.677983e-02 1.636123e-02 1.403749e-02 1.057805e-02
[24,] 5.892220e-03 6.221760e-03 5.959858e-03 5.051079e-03 3.764780e-03
[25,] 2.214064e-03 2.051104e-03 1.882619e-03 1.566434e-03 1.153090e-03
[26,] 1.033044e-03 6.654099e-04 5.305377e-04 4.216347e-04 3.044514e-04
[27,] 7.163934e-04 2.740662e-04 1.490256e-04 1.016621e-04 6.984440e-05
[28,] 6.027226e-04 1.680816e-04 5.436291e-05 2.479140e-05 1.442119e-05
[29,] 4.921312e-04 1.229466e-04 2.949224e-05 8.038341e-06 3.061617e-06
[30,] 3.628914e-04 8.689156e-05 1.879613e-05 3.868490e-06 8.864756e-07
[31,] 2.415537e-04 5.608174e-05 1.161288e-05 2.166941e-06 3.814230e-07
[32,] 1.502844e-04 3.371212e-05 6.733274e-06 1.198587e-06 1.918308e-07
[33,] 9.318749e-05 2.008191e-05 3.849132e-06 6.560934e-07 9.956410e-08
[34,] 6.150956e-05 1.274905e-05 2.342573e-06 3.816640e-07 5.515758e-08
[35,] 4.364306e-05 8.795510e-06 1.565160e-06 2.459846e-07 3.415511e-08
[36,] 3.177376e-05 6.313265e-06 1.105306e-06 1.705234e-07 2.318669e-08
[37,] 2.333794e-05 4.649923e-06 8.170423e-07 1.266197e-07 1.731021e-08
[38,] 1.922245e-05 3.945384e-06 7.159134e-07 1.148283e-07 1.627762e-08
[39,] 2.120110e-05 4.543919e-06 8.596584e-07 1.434744e-07 2.111257e-08
[40,] 2.988977e-05 6.543170e-06 1.260117e-06 2.134192e-07 3.177815e-08
[41,] 4.347535e-05 9.520047e-06 1.831108e-06 3.093245e-07 4.588783e-08
[42,] 5.753072e-05 1.250300e-05 2.385616e-06 3.996166e-07 5.876638e-08
[43,] 6.646826e-05 1.430488e-05 2.702522e-06 4.481931e-07 6.524791e-08
[44,] 6.630820e-05 1.412345e-05 2.640667e-06 4.333965e-07 6.243856e-08
[45,] 5.695412e-05 1.200431e-05 2.220977e-06 3.607003e-07 5.142118e-08
[46,] 4.208970e-05 8.778275e-06 1.607075e-06 2.582604e-07 3.643107e-08
[47,] 2.675717e-05 5.521923e-06 1.000308e-06 1.590639e-07 2.220250e-08
[48,] 1.463181e-05 2.987884e-06 5.355781e-07 8.427062e-08 1.163916e-08
[49,] 6.882464e-06 1.390673e-06 2.466604e-07 3.840326e-08 5.248423e-09
[50,] 2.784691e-06 5.567669e-07 9.771539e-08 1.505382e-08 2.035742e-09
             [,49]        [,50]
 [1,] 1.853977e-09 1.358099e-09
 [2,] 1.794290e-08 1.300580e-08
 [3,] 1.493719e-07 1.071348e-07
 [4,] 1.069626e-06 7.591197e-07
 [5,] 6.588408e-06 4.626746e-06
 [6,] 3.490734e-05 2.425652e-05
 [7,] 1.590885e-04 1.093873e-04
 [8,] 6.236605e-04 4.243191e-04
 [9,] 2.103023e-03 1.415808e-03
[10,] 6.099949e-03 4.063524e-03
[11,] 1.521931e-02 1.003200e-02
[12,] 3.266258e-02 2.130389e-02
[13,] 6.029657e-02 3.891498e-02
[14,] 9.574611e-02 6.114503e-02
[15,] 1.307785e-01 8.264030e-02
[16,] 1.536519e-01 9.607472e-02
[17,] 1.552837e-01 9.607555e-02
[18,] 1.349897e-01 8.264242e-02
[19,] 1.009396e-01 6.114764e-02
[20,] 6.492462e-02 3.891731e-02
[21,] 3.592060e-02 2.130553e-02
[22,] 1.709484e-02 1.003295e-02
[23,] 6.998015e-03 4.063982e-03
[24,] 2.464234e-03 1.416002e-03
[25,] 7.464909e-04 4.243991e-04
[26,] 1.946171e-04 1.094274e-04
[27,] 4.375047e-05 2.428398e-05
[28,] 8.556176e-06 4.648263e-06
[29,] 1.514304e-06 7.751352e-07
[30,] 2.808579e-07 1.177354e-07
[31,] 7.321922e-08 1.918125e-08
[32,] 2.871081e-08 4.581647e-09
[33,] 1.354810e-08 1.706901e-09
[34,] 7.079571e-09 8.114089e-10
[35,] 4.191978e-09 4.552523e-10
[36,] 2.779497e-09 2.938538e-10
[37,] 2.088139e-09 2.223293e-10
[38,] 2.039012e-09 2.256585e-10
[39,] 2.737905e-09 3.127652e-10
[40,] 4.159066e-09 4.783568e-10
[41,] 5.977680e-09 6.837474e-10
[42,] 7.586631e-09 8.598009e-10
[43,] 8.338192e-09 9.353636e-10
[44,] 7.896167e-09 8.765495e-10
[45,] 6.434747e-09 7.068316e-10
[46,] 4.511067e-09 4.903219e-10
[47,] 2.720352e-09 2.925788e-10
[48,] 1.411108e-09 1.501736e-10
[49,] 6.296262e-10 6.630269e-11
[50,] 2.416528e-10 2.517998e-11

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(y,z)
> (r<-lm(z ~ y))

Call:
lm(formula = z ~ y)

Coefficients:
(Intercept)            y  
     99.662       -0.951  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7jdll1226512533.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z))
> op
$xords
 [1] 5.539326 5.600986 5.662646 5.724307 5.785967 5.847627 5.909287 5.970947
 [9] 6.032607 6.094268 6.155928 6.217588 6.279248 6.340908 6.402568 6.464229
[17] 6.525889 6.587549 6.649209 6.710869 6.772529 6.834189 6.895850 6.957510
[25] 7.019170 7.080830 7.142490 7.204150 7.265811 7.327471 7.389131 7.450791
[33] 7.512451 7.574111 7.635771 7.697432 7.759092 7.820752 7.882412 7.944072
[41] 8.005732 8.067393 8.129053 8.190713 8.252373 8.314033 8.375693 8.437354
[49] 8.499014 8.560674

$yords
 [1]  51.54064  53.23490  54.92916  56.62342  58.31768  60.01194  61.70620
 [8]  63.40046  65.09472  66.78898  68.48324  70.17750  71.87176  73.56602
[15]  75.26027  76.95453  78.64879  80.34305  82.03731  83.73157  85.42583
[22]  87.12009  88.81435  90.50861  92.20287  93.89713  95.59139  97.28565
[29]  98.97991 100.67417 102.36843 104.06269 105.75695 107.45121 109.14547
[36] 110.83973 112.53398 114.22824 115.92250 117.61676 119.31102 121.00528
[43] 122.69954 124.39380 126.08806 127.78232 129.47658 131.17084 132.86510
[50] 134.55936

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.990150e-04 0.0003162787 0.0004417210 0.0005423826 0.0005860578
 [2,] 4.805249e-04 0.0007644201 0.0010687728 0.0013140221 0.0014221892
 [3,] 1.086414e-03 0.0017300326 0.0024216095 0.0029814212 0.0032328442
 [4,] 2.299993e-03 0.0036664168 0.0051382427 0.0063356044 0.0068843178
 [5,] 4.559456e-03 0.0072761453 0.0102100988 0.0126102133 0.0137351985
 [6,] 8.463678e-03 0.0135220065 0.0190005614 0.0235103222 0.0256784619
 [7,] 1.471195e-02 0.0235326975 0.0331165220 0.0410616970 0.0449926090
 [8,] 2.394706e-02 0.0383535408 0.0540617167 0.0671903789 0.0739006099
 [9,] 3.650175e-02 0.0585408586 0.0826674044 0.1030225979 0.1138179360
[10,] 5.210325e-02 0.0836859579 0.1184180679 0.1480441664 0.1644289720
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[10,] 4.332716e-03 3.433196e-03 2.401189e-03 1.477089e-03
[11,] 8.877460e-03 7.059238e-03 4.945064e-03 3.045210e-03
[12,] 1.705628e-02 1.359628e-02 9.536713e-03 5.878648e-03
[13,] 3.071082e-02 2.452551e-02 1.722221e-02 1.062630e-02
[14,] 5.180347e-02 4.142970e-02 2.912273e-02 1.798575e-02
[15,] 8.184575e-02 6.553571e-02 4.611288e-02 2.850464e-02
[16,] 1.211015e-01 9.707394e-02 6.836848e-02 4.230016e-02
[17,] 1.677982e-01 1.346410e-01 9.491411e-02 5.877700e-02
[18,] 2.177162e-01 1.748628e-01 1.233802e-01 7.647357e-02
[19,] 2.645139e-01 2.126472e-01 1.501757e-01 9.316519e-02
[20,] 3.009219e-01 2.421378e-01 1.711561e-01 1.062758e-01
[21,] 3.205554e-01 2.581696e-01 1.826516e-01 1.135149e-01
[22,] 3.197376e-01 2.577428e-01 1.825127e-01 1.135298e-01
[23,] 2.986239e-01 2.409387e-01 1.707658e-01 1.063176e-01
[24,] 2.611528e-01 2.108944e-01 1.496052e-01 9.322623e-02
[25,] 2.138472e-01 1.728470e-01 1.227244e-01 7.654368e-02
[26,] 1.639650e-01 1.326468e-01 9.426553e-02 5.884624e-02
[27,] 1.177164e-01 9.531687e-02 6.779743e-02 4.236100e-02
[28,] 7.913372e-02 6.413292e-02 4.565744e-02 2.855299e-02
[29,] 4.981103e-02 4.040459e-02 2.879043e-02 1.802085e-02
[30,] 2.935831e-02 2.383522e-02 1.699898e-02 1.064969e-02
[31,] 1.620263e-02 1.316582e-02 9.398014e-03 5.893006e-03
[32,] 8.373596e-03 6.809602e-03 4.865069e-03 3.053340e-03
[33,] 4.053068e-03 3.298042e-03 2.358222e-03 1.481333e-03
[34,] 1.838388e-03 1.495893e-03 1.070369e-03 6.729323e-04
[35,] 7.827667e-04 6.356472e-04 4.549565e-04 2.862455e-04
[36,] 3.146331e-04 2.533520e-04 1.811358e-04 1.140192e-04
[37,] 1.214938e-04 9.508468e-05 6.760791e-05 4.253693e-05
[38,] 4.738161e-05 3.401898e-05 2.372034e-05 1.487145e-05
[39,] 2.084963e-05 1.203649e-05 7.891006e-06 4.881547e-06
[40,] 1.176149e-05 4.611898e-06 2.556011e-06 1.513614e-06
[41,] 8.421465e-06 2.195337e-06 8.656114e-07 4.518405e-07
[42,] 6.703957e-06 1.358433e-06 3.496248e-07 1.370666e-07
[43,] 5.351183e-06 9.760589e-07 1.846829e-07 4.746643e-08
[44,] 4.096256e-06 7.205408e-07 1.183233e-07 2.123157e-08
[45,] 2.961547e-06 5.146928e-07 8.032615e-08 1.196656e-08
[46,] 2.012672e-06 3.481923e-07 5.342975e-08 7.417116e-09
[47,] 1.283956e-06 2.215696e-07 3.379528e-08 4.581702e-09
[48,] 7.686350e-07 1.323571e-07 2.013022e-08 2.707088e-09
[49,] 4.318324e-07 7.418534e-08 1.125868e-08 1.508903e-09
[50,] 2.277383e-07 3.901464e-08 5.907943e-09 7.900575e-10

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,z)
> (r<-lm(z ~ x))

Call:
lm(formula = z ~ x)

Coefficients:
(Intercept)            x  
    89.8097       0.1845  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1h6ze1226512532.ps tmp/1h6ze1226512532.png")
> system("convert tmp/2au6y1226512532.ps tmp/2au6y1226512532.png")
> system("convert tmp/33l3o1226512532.ps tmp/33l3o1226512532.png")
> system("convert tmp/4i6221226512532.ps tmp/4i6221226512532.png")
> system("convert tmp/588c11226512532.ps tmp/588c11226512532.png")
> system("convert tmp/6k3qg1226512533.ps tmp/6k3qg1226512533.png")
> system("convert tmp/7jdll1226512533.ps tmp/7jdll1226512533.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.188   1.257   2.578